Enhancing Credit Risk Prediction: A Multi-stage Ensemble Pipeline

ArXi:2509.22381v2 Announce Type: replace Effective credit risk management is fundamental to financial decision-making, requiring robust models to predict default probabilities and classify financial entities. Traditional machine learning approaches face significant challenges when confronted with high-dimensional data, limited interpretability, rare-event detection, and multi-class risk imbalance.